Rainfall-induced shallow landslide detachment, transit and runout susceptibility mapping by integrating machine learning techniques and GIS-based approaches

M Di Napoli, D Di Martire, G Bausilio, D Calcaterra… - Water, 2021 - mdpi.com
Rainfall-induced shallow landslides represent a serious threat in hilly and mountain areas
around the world. The mountainous landscape of the Cinque Terre (eastern Liguria, Italy) is …

Debris-flow susceptibility assessment in China: a comparison between traditional statistical and machine learning methods

H Huang, Y Wang, Y Li, Y Zhou, Z Zeng - Remote Sensing, 2022 - mdpi.com
Debris flows, triggered by dual interferences extrinsically and intrinsically, have been
widespread in China. The debris-flow susceptibility (DFS) assessment is acknowledged as …

Vulnerability assessment of mountainous households to landslides: A multidimensional study in the rural Himalayas

HA Mirdda, S Bera, R Chatterjee - International Journal of Disaster Risk …, 2022 - Elsevier
Landslides hazards are serious concerns for the mountainous regions in the Indian
Himalayas specially for the rural areas where many of them go under the radar. The study …

Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India

S Bera, VK Upadhyay, B Guru, T Oommen - Natural Hazards, 2021 - Springer
Landslide susceptibility modeling is complex as it involves different types of landslides and
diverse interests of the end-user. Developing mitigation strategies for the landslides …

Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India

S Bera, B Guru, T Oommen - International Journal of Disaster Risk …, 2020 - Elsevier
Although houses are the most affected physical element by landslides, studies on the
vulnerability of houses are limited, particularly in the Himalayan region. The present …

[HTML][HTML] Space-time modeling of cascading hazards: Chaining wildfires, rainfall and landslide events through machine learning

M Di Napoli, C Eroglu, B van den Bout, D Di Martire… - Catena, 2024 - Elsevier
The current study sets out to explore yearly landslide susceptibility dynamics on slopes
regularly affected by fires. To do so, two yearly inventories have been generated, one for the …

Perigos geomorfológicos em Portugal: estado da arte

J Zêzere - Finisterra-Revista Portuguesa de Geografia, 2023 - repositorio.ul.pt
In Portugal, scholarly attention towards geohazards has grown significantly since the 1980s,
with various analytical methods employed to study these phenomena, including physically …

GEOHAZARDS IN PORTUGAL:: A STATE OF THE ART

JL Zêzere - Finisterra, 2023 - revistas.rcaap.pt
Em Portugal, a atenção académica para os perigos geomorfológicos tem crescido desde os
anos 80, com utilização de métodos analíticos que incluem modelos de base física …

Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal

ME Kincey, NJ Rosser, AL Densmore… - Earth surface …, 2023 - Wiley Online Library
Coseismic landslides represent the first stage of a broader cascading sequence of
geohazards associated with high‐magnitude continental earthquakes, with the subsequent …

[HTML][HTML] Debris flow run-out simulation and analysis using a dynamic model

R Melo, T van Asch, JL Zêzere - Natural Hazards and Earth …, 2018 - nhess.copernicus.org
Only two months after a huge forest fire occurred in the upper part of a valley located in
central Portugal, several debris flows were triggered by intense rainfall. The event caused …